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Data Scientist Jobs in Alberta (NOW HIRING)

Canadian Natural

Data Science Student

Calgary, AB · On-site

Join our team as you dive into the world of data science and industrial operations! As part of our Control Systems team, you'll support a team accountable for the reliability and availability of all ...

Canadian Natural

Data Science Student

Calgary, AB · On-site

Join our team as you dive into the world of data science and industrial operations! As part of our Control Systems team, you'll support a team accountable for the reliability and availability of all ...

Suncor

Data Science Student - January 2027

Calgary, AB · On-site

We offer a wide range of Data Science student opportunities at Suncor. When you apply, we'll help match you to roles that suit your skills and interests. Please only apply once to the posting that ...

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Showing results 21-28

All JobsData Scientist JobsData Scientist Jobs in Alberta

Data Scientist information

See Alberta salary details

$40K

$119.9K

$188.5K

How much do data scientist jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data scientist in Alberta is $119,852.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,500.00 and $140,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What do data scientists do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

What are some typical projects data scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

Is a data scientist job still in demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and employment opportunities continue to grow as organizations seek to leverage big data for competitive advantage.

What does a data scientist do exactly?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning algorithms to interpret data and solve complex problems.
More about Data Scientist jobs

What are the most commonly searched types of Data Scientist jobs in Alberta?

The most popular types of Data Scientist jobs in Alberta are:

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For Data Scientist jobs in Alberta, the most frequently searched job titles are:

What job categories do people searching Data Scientist jobs in Alberta look for?

The top searched job categories for Data Scientist jobs in Alberta are:

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Cities in Alberta with the most Data Scientist job openings:

What are popular job titles related to Data Scientist jobs in AB?

For Data Scientist jobs in AB, the most frequently searched job titles are:

Data Scientist jobs near you
Infographic showing various Data Scientist job openings in Alberta as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 76% Full Time, 20% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $119,852 per year, or $57.6 per hour.

Data Science Student

Canadian Natural

Calgary, AB • On-site

Full-time

PTO

Posted 22 days ago

Job description

The Opportunity:

Are you a student looking for an exciting opportunity that is full of meaningful, diverse, and ambitious assignments working alongside industry leading professionals? Join Canadian Natural, where we strive to provide opportunities based on your abilities, helping you to contribute in a meaningful way and apply your academic experience to challenging and rewarding projects!

Join our team as you dive into the world of data science and industrial operations! As part of our Control Systems team, you'll support a team accountable for the reliability and availability of all DCS and control system assets within the project area. If you are passionate about industrial operations and data science, this opportunity is for you! Get ready to grow your skills and make a real impact in a collaborative and innovative environment. 

  • Job location: Calgary, Alberta - Head Office 
  • Work schedule: 5 x 2, 8 hours per day (Monday - Friday)
  • Term length: 8 Months
  • Term start: May 2027
  • Safety sensitive position: Yes

Key Accountabilities:

  • Model Development: Design and implement forecasting models to predict future trends and utilize machine learning algorithms to analyze historical data and identify trends and anomalies
  • Data Workflow Management: Utilize data orchestration tools (e.g., Prefect) to manage and streamline data processing workflows, ensuring efficient execution of EDA and data manipulation tasks
  • Data Visualization: Develop interactive dashboards using visualization tools (e.g., Plotly Dash, Power BI) to present forecasting results and insights to stakeholders, facilitating data-driven decision-making
  • Data Quality Assurance: Conduct thorough data cleaning and preprocessing to ensure high-quality datasets, addressing anomalies, missing values, and outliers effectively
  • Collaboration: Work closely with cross-functional teams to gather requirements, integrate data from various sources (e.g., PI Process Book), and provide analytical support for operational improvements

What You Bring to the Role:

  • Currently enrolled in a bachelor's or master's degree program in Engineering 
  • Proven completion of formal training related to data science
  • Strong work ethic and positive attitude
  • A pre-employment drug and alcohol test must be successfully completed

What We Offer:

  • Competitive salary
  • Paid time off during Christmas week and summer Fridays in July and August
  • Multiple volunteer opportunities within the community
  • Students may be eligible for relocation assistance pursuant to Canadian Natural's Student Relocation Policy (students will be responsible for finding their own accommodations during the work term)
  • Opportunities to partake in initiatives such as the Intern Social Committee

Check out our COMPENSATION & BENEFITS overview to see what we have to offer!

If you are interested in this exciting student work term opportunity, please include your resume, cover letter (optional) and unofficial transcripts as part of your online application.

All candidates applying to Canadian Natural must have legal authorization to work in Canada with no restrictions.

We wish to thank all applicants for their interest and effort in applying for the position; however, only candidates selected for interviews will be contacted. This posting will close once a successful candidate has been selected.

Canadian Natural operates one of the largest Campus Recruitment programs in the country, hiring over 400 students every year. Students hired on with us are made to feel a part of the team, gaining high level experience, knowledge, and training that introduces and prepares them for full-time employment. 

We are proud to share that Canadian Natural has been ranked as a Top Employer for 2023, 2024 and 2025 by Canada's Future Workforce and also one of Forbes' Canada's Best Employers in 2025 and 2026.

Industry Leader: We commenced business in 1989 with a handful of employees and modest production, but today we employ more than 10,000 people and produce over 1 million BOE/d. 

Community Investment: Social responsibility is a critical element of our commitment to responsible operations and part of our success and pride as a Company. We are committed to investing in the communities where we live and work, creating shared value along the way.

Compensation and Benefits: We strive to share Company success with all employees through a comprehensive total compensation package.

Our People, Our Stories: Our stories demonstrate the strong culture that exists at Canadian Natural - one that focuses on developing people, working together and doing it right, with fun and integrity.

Check out some of our Student Testimonials!

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